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A Computationally Efficient Direct Position Determination Algorithm Based on OFDM System
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DOI：10.1109/LCOMM.2022.3231548.png)
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Abstract
En 中文
Based on the orthogonal frequency division multiplexing (OFDM) system, a computationally attractive implementation for the traditional single source maximum likelihood (SML) direct position determination (DPD) algorithm is proposed. The proposed algorithm implements fast Fourier transform (FFT) to the received frequency-domain signals after deconvolution. Then, the cost function for all points can be obtained from the same FFT output set. As a consequence, some repeated calculation in the traditional SML DPD algorithm is avoided. Simulation results demonstrate that the proposed modified SML DPD algorithm can achieve a comparable performance to traditional SML-DPD while significantly reducing the computational complexity.
Keywords:
Maximum likelihood estimation
OFDM
Transmission line matrix methods
Location awareness
Cost function
Computational efficiency
Eigenvalues and eigenfunctions
Time delay
direct position determination
fast Fourier transform
maximum likelihood estimation
orthogonal frequency division multiplexing